Results 11 to 20 of about 1,352 (201)
Using Item Response Theory Models in Scaling Severity Scores in Alcohol Research-A Tutorial. [PDF]
Drug Alcohol RevABSTRACT Introduction Questionnaires are frequently used in the assessment of drug and alcohol dependence. Methods Typically, sum scores are used for aggregation, which come with several underlying assumptions. If untested psychometrically, the reliability and sufficiency of a sum score as a measure of the characteristic of interest remain unclear.
Schulze D +3 more
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Conditional Maximum Likelihood Estimation in Polytomous Rasch Models Using SAS
ISRN Computational Mathematics, 2013 IRT models are widely used but often rely on distributional assumptions about the latent variable. For a simple class of IRT models, the Rasch models, conditional inference is feasible. This enables consistent estimation of item parameters without reference to the distribution of the latent variable in the population.
Karl Bang Christensen
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Person parameter estimation in the polytomous Rasch model
, 2014 Thomas Welchowski
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Tree-Based Global Model Tests for Polytomous Rasch Models [PDF]
Educational and Psychological Measurement, 2016 Psychometric measurement models are only valid if measurement invariance holds between test takers of different groups. Global model tests, such as the well-established likelihood ratio (LR) test, are sensitive to violations of measurement invariance, such as differential item functioning and differential step functioning.
Basil Komboz +2 more
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Inferences of associated latent variables by the observable test scores. [PDF]
Br J Math Stat PsycholAbstract Test scores, like the sum score, can be useful for making inferences about the latent variables. The conditions under which such test scores allow for inferences of the latent variables based on a “weaker” stochastic ordering are generalized to any monotone latent variable model for which the latent variables are associated.
Ligtvoet R.
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Conditions for Rasch-Dichotomizability of the Unidimensional Polytomous Rasch Model
Psychometrika, 1989 Jansen and Roskam (1986) discussed the compatibility of the unidimensional polytomous Rasch model with dichotomization of the response continuum. They derived a rather strict condition in which dichotomization of multicategory data that fit the unidimensional polytomous Rasch model, results in dichotomous data which fit the dichotomous Research model ...
Edward E. Roskam, Paul Jansen
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Probabilistic Outcome of Rasch Polytomous Model Upon Measurement of Statistical Learning [PDF]
The Journal of Social Sciences Research, 2018 Assessing students’ ability in learning statistics has been a challenge for many statistical educators. To be able to know exactly how well students have learned and mastered the statistical contents can be difficult without the use of proper measurement tools. Even though types of assessment of students learning differ from one instructor to another,
Zamalia Mahmud +4 more
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Psychometric Evaluation of the Insomnia Severity Index in Chronic Disease Patients Using Three Complementary Approaches. [PDF]
Brain BehavThe Bangla version of the ISI was validated among adults with chronic diseases using confirmatory factor analysis, Rasch modeling, and network analysis. Findings supported a two‐factor structure (nighttime symptoms, daytime impact) with strong reliability, measurement invariance across gender, and coherent symptom networks.
Al-Mamun F +5 more
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ltm: An R Package for Latent Variable Modeling and Item Response Analysis
Journal of Statistical Software, 2006 The R package ltm has been developed for the analysis of multivariate dichotomous and polytomous data using latent variable models, under the Item Response Theory approach. For dichotomous data the Rasch, the Two-Parameter Logistic, and Birnbaum's Three-
Dimitris Rizopoulos
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Psychometric Evaluation of the Patient Experience Colonoscopy Scale. [PDF]
J Eval Clin PractABSTRACT Rationale, Aims and Objectives Colonoscopy, though common, can be uncomfortable, necessitating routine assessment of patient experience per European guidelines. Positive patient experiences are crucial as they influence willingness for repeat procedures.
Annica R +5 more
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